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A novel optimal routing for navigation systems/services based on global navigation satellite system quality of service

Karimi, HA and Asavasuthirakul, D (2014) A novel optimal routing for navigation systems/services based on global navigation satellite system quality of service. Journal of Intelligent Transportation Systems: Technology, Planning, and Operations, 18 (3). 286 - 298. ISSN 1547-2450

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Abstract

The positioning quality of global navigation satellite system (GNSS), or GNSS quality of service (QoS), is a major factor impacting real-time navigation performance. Commonly requested routes (i.e., shortest or fastest) may include areas with poor GNSS QoS, which can subsequently degrade navigation performance. To provide alternative routes with high or acceptable GNSS QoS along a route, a novel optimal routing for navigation systems/services based on GNSS QoS by utilizing integrated GNSS (iGNSS) QoS prediction is presented in this article. New routing criteria based on GNSS QoS are maximum availability, maximum accuracy, maximum continuity, and maximum reliability. Two experiments were conducted to compare GNSS QoS-based routes against shortest routes. In one experiment, routes were simulated, and in another, generated routes based on GNSS QoS were evaluated against GPS-based trajectories as ground truths. The results show that GNSS QoS-based routes provide routes with higher QoS, more than 50%, and longer, about 50%, than shortest routes. © 2014 Copyright © Taylor and Francis Group, LLC.

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Details

Item Type: Article
Status: Published
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Karimi, HAhkarimi@pitt.eduHKARIMI0000-0001-5331-5004
Asavasuthirakul, D
Date: 3 July 2014
Date Type: Publication
Access Restriction: No restriction; Release the ETD for access worldwide immediately.
Journal or Publication Title: Journal of Intelligent Transportation Systems: Technology, Planning, and Operations
Volume: 18
Number: 3
Page Range: 286 - 298
DOI or Unique Handle: 10.1080/15472450.2013.836927
Institution: University of Pittsburgh
Schools and Programs: School of Information Sciences > Information Science
Refereed: Yes
ISSN: 1547-2450
Date Deposited: 24 Jun 2014 20:16
Last Modified: 31 Jul 2020 14:55
URI: http://d-scholarship.pitt.edu/id/eprint/22053

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